Landscaping Services
National industry · NAICS 561730
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Landscaping Services is a U.S. industry in the NAICS classification. The Bureau of Labor Statistics estimates about 915,120 workers across 116 detailed occupations in it. A typical worker earns around $44,613 a year (Singulariki estimate, see below).
This industry comprises (1) establishments primarily engaged in providing landscape care and maintenance services and/or installing trees, shrubs, plants, lawns, or gardens and (2) establishments primarily engaged in providing these services along with the design of landscape plans and/or the construction (i.e., installation) of walkways, retaining walls, decks, fences, ponds, and similar structures. Cross-References. Establishments primarily engaged in--
Employment is national May 2024 OEWS. "Typical pay" is Singulariki's own figure — the employment-weighted average of each occupation's national median wage — a rough center of the industry, not an official BLS number.
How exposed this industry is to AI
Weighting every occupation in this industry by its employment and its unified AI-exposure index (the OpenAI "GPTs are GPTs" human-rated task overlap folded with the Felten/Raj/Seamans AIOE index), this industry sits in the Low band — 1st percentile across all industries.
Exposure measures how much of the work overlaps with what today's AI can do, not a prediction of automation; high-exposure industries are where AI is most likely to reshape tasks. Employment-weighted across 84 occupations that carry an exposure score. Compare every industry on the AI exposure hub.
How AI is actually used in this industry
Among measured Claude.ai (Free and Pro) conversations mapped to O*NET task statements (Anthropic Economic Index, 2026-01-15), these patterns are most associated with the occupations in this industry, weighted by its employment mix. They are shares of observed AI conversations — not of worker time, revenue, or what could be automated — and reflect one AI assistant's consumer sample, not all AI.
| Signal coverage | 86.6% of employment · 53/92 occupations have AEI task data |
| Augmentation vs. automation | 48.7% working with AI · 33.6% handed to AI |
| Most common pattern | Learning · you ask AI to explain or teach |
| Typical AI autonomy | 3.1 / 5 · higher = AI acts more independently |
Tasks driving the signal
The task families that account for the most AI activity across this industry's occupations (employment × observed usage), each attributed to the occupation it comes from.
| Task | Occupation | How | Share of signal |
|---|---|---|---|
| Troubleshoot problems involving office equipment, such as computer hardware and software. | Office Clerks, General | Feedback loop | 49.1% |
| Advise customers on plant selection or care. | Landscaping and Groundskeeping Workers | Learning | 11.2% |
| Answer inquiries from current or prospective customers regarding methods, materials, or price ranges. | First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers | none | 5.6% |
| Use computers for various applications, such as database management or word processing. | Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | Directive | 4.4% |
| Conduct searches to find needed information, using such sources as the Internet. | Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | Directive | 4.1% |
| Develop or maintain internal or external company Web sites. | Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | Directive | 3.0% |
| Process and prepare documents, such as business or government forms and expense reports. | Office Clerks, General | Directive | 2.0% |
| Provide information and advice to the public regarding the selection, purchase, and care of products. | Farmworkers and Laborers, Crop, Nursery, and Greenhouse | Directive | 1.6% |
| Participate in the work of subordinates to facilitate productivity or to overcome difficult aspects of work. | First-Line Supervisors of Office and Administrative Support Workers | Iteration | 1.6% |
| Complete work schedules, manage calendars, and arrange appointments. | Office Clerks, General | Directive | 1.2% |
| Review financial statements, sales or activity reports, or other performance data to measure productivity or goal achievement or to identify areas needing cost reduction or program improvement. | General and Operations Managers | Directive | 1.0% |
| Operate office machines, such as photocopiers and scanners, facsimile machines, voice mail systems, and personal computers. | Office Clerks, General | Learning | 0.9% |
Occupations behind the signal
The occupations whose AI-touched tasks contribute most to this industry's signal, by employment here.
| Occupation | Workers | Share | How they use AI |
|---|---|---|---|
| Landscaping and Groundskeeping Workers | 571,490 | 62.5% | Learning |
| First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers | 84,440 | 9.2% | none |
| General and Operations Managers | 33,700 | 3.7% | Iteration |
| Office Clerks, General | 25,860 | 2.8% | Feedback loop |
| Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | 10,270 | 1.1% | Directive |
| Bookkeeping, Accounting, and Auditing Clerks | 9,570 | 1.1% | Directive |
| Maintenance and Repair Workers, General | 6,740 | 0.7% | Learning |
| Heavy and Tractor-Trailer Truck Drivers | 6,310 | 0.7% | Directive |
| First-Line Supervisors of Office and Administrative Support Workers | 5,150 | 0.6% | Iteration |
| Landscape Architects | 4,870 | 0.5% | Iteration |
| Customer Service Representatives | 3,660 | 0.4% | Directive |
| Cost Estimators | 3,360 | 0.4% | Iteration |
This rollup is only as complete as the occupation-task matches available for the industry; the coverage figure above is shown so sparse industries do not look falsely precise. AI exposure is not the same as replacement.
Skill & tool metabolism
What this industry's work actually runs on. Each figure is the share of the industry's workers in occupations that significantly rely on a skill, knowledge area, or ability (O*NET importance ≥ 3 of 5), or that use a tool category — its employment reach. This is a measure of how widespread a requirement is across the workforce, not how intensively any one worker uses it. Shares are independent and need not add to 100%.
Based on 96.7% of this industry's employment that maps to a detailed occupation with an O*NET skill profile.
Skills
| Skill | Employment reach | Workers |
|---|---|---|
| Operation and Control | 82.8% | 757,320 |
| Speaking | 32.6% | 298,210 |
| Critical Thinking | 31.6% | 289,600 |
| Coordination | 28.8% | 263,700 |
| Active Listening | 28.4% | 259,700 |
| Monitoring | 27.3% | 249,630 |
| Time Management | 26.5% | 242,940 |
| Reading Comprehension | 26.0% | 237,890 |
| Complex Problem Solving | 24.7% | 225,750 |
| Social Perceptiveness | 22.5% | 205,910 |
| Writing | 22.4% | 205,060 |
| Service Orientation | 20.5% | 188,010 |
Knowledge areas
| Knowledge area | Employment reach | Workers |
|---|---|---|
| Customer and Personal Service | 93.2% | 853,000 |
| English Language | 89.9% | 822,460 |
| Administration and Management | 23.2% | 211,880 |
| Administrative | 21.0% | 191,790 |
| Mathematics | 19.7% | 180,180 |
| Mechanical | 19.5% | 178,000 |
| Public Safety and Security | 15.0% | 137,510 |
| Personnel and Human Resources | 14.4% | 131,490 |
| Building and Construction | 12.7% | 115,980 |
| Education and Training | 12.4% | 113,880 |
| Chemistry | 10.7% | 97,710 |
| Design | 10.7% | 97,970 |
Abilities
| Abilitie | Employment reach | Workers |
|---|---|---|
| Near Vision | 96.6% | 884,120 |
| Problem Sensitivity | 96.2% | 880,670 |
| Manual Dexterity | 83.8% | 767,260 |
| Control Precision | 83.6% | 765,300 |
| Arm-Hand Steadiness | 83.4% | 763,040 |
| Multilimb Coordination | 83.3% | 761,910 |
| Static Strength | 83.2% | 761,530 |
| Visualization | 81.3% | 743,580 |
| Extent Flexibility | 71.4% | 653,040 |
| Trunk Strength | 71.1% | 650,400 |
| Stamina | 69.3% | 633,890 |
| Oral Comprehension | 34.2% | 312,710 |
Tool categories
| Tool category | Employment reach | Workers |
|---|---|---|
| Spreadsheet software | 99.4% | 909,520 |
| Electronic mail software | 98.4% | 900,620 |
| Word processing software | 96.3% | 881,280 |
| Office suite software | 94.7% | 866,860 |
| Web page creation and editing software | 88.6% | 810,940 |
| Operating system software | 82.4% | 754,000 |
| Data base user interface and query software | 27.7% | 253,250 |
| Presentation software | 26.5% | 242,070 |
| Time accounting software | 18.7% | 171,310 |
| Project management software | 17.5% | 160,530 |
| Enterprise resource planning ERP software | 17.3% | 158,300 |
| Customer relationship management CRM software | 14.7% | 134,980 |
| Internet browser software | 14.3% | 131,270 |
| Graphics or photo imaging software | 13.8% | 125,870 |
| Analytical or scientific software | 13.2% | 120,590 |
Reach = share of industry employment in occupations where the requirement is significant; it is not a per-worker usage or proficiency measure. Skill, knowledge, and ability importance is from O*NET; tool use is reported presence of a technology category.
Largest occupations
The occupations that employ the most people in this industry, with their share of the industry's workforce and national median pay for the occupation (not industry-specific pay).
Showing the top 40 of 116 occupations by employment.
Most distinctive occupations
The occupations most unusually concentrated in this industry compared with the economy as a whole. The location quotient is how many times more common an occupation is here versus its economy-wide share (a value of 5 means five times as concentrated).
Write a report on thisheadline · factoids · citation
The Landscaping Services workforce sits at the 1st percentile of AI task overlap — 915,120 U.S. workers
- Weighting every occupation by its real share of Landscaping Services employment, the industry's workforce ranks in the 1st percentile (Low band) for AI task overlap — overlap with what AI can attempt, not a measure of jobs at risk.Eloundou et al. + Felten AIOE, weighted by BLS OEWS
- The industry employs about 915,120 U.S. workers across 116 occupations.BLS OEWS (May 2024)
- Employment-weighted typical annual pay is about $44,613.BLS OEWS (May 2024)
- Of AI use observed across this industry's occupations, 49% looks like augmentation rather than automation — from a Claude.ai sample, not a census.Anthropic Economic Index
The Landscaping Services workforce sits at the 1st percentile of AI task overlap — 915,120 U.S. workers • Weighting every occupation by its real share of Landscaping Services employment, the industry's workforce ranks in the 1st percentile (Low band) for AI task overlap — overlap with what AI can attempt, not a measure of jobs at risk. (Eloundou et al. + Felten AIOE, weighted by BLS OEWS) • The industry employs about 915,120 U.S. workers across 116 occupations. (BLS OEWS (May 2024)) • Employment-weighted typical annual pay is about $44,613. (BLS OEWS (May 2024)) • Of AI use observed across this industry's occupations, 49% looks like augmentation rather than automation — from a Claude.ai sample, not a census. (Anthropic Economic Index) Source: Singulariki — "Landscaping Services". https://singulariki.com/industries/561730 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- Census NAICS 2022 U.S. Census Bureau
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
Data compiled June 3, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Landscaping Services." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/industries/561730
Singulariki. (2026). Landscaping Services. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/industries/561730
@misc{singulariki-561730,
title = {Landscaping Services},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
url = {https://singulariki.com/industries/561730}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.